Stages: Ingest, Prep, Train, Eval
Break training into clear, cacheable steps.
From One Big Script to Stages
A single train.py that does everything is hard to reuse and slow to debug. Splitting it into stages makes each step clear and independently runnable. 🧩
The Four Classic Stages
Most training pipelines follow the same shape: ingest, prep, train, eval. Each stage takes inputs and produces outputs the next one reads.
All lessons in this course
- Stages: Ingest, Prep, Train, Eval
- Define a Pipeline with DVC Stages
- Cache and Skip Unchanged Steps
- Parameterize Runs with params.yaml